Paper: Expertness From Structured Text? RECONSIDER: A Diagnostic Prompting Program

ACL ID A83-1021
Title Expertness From Structured Text? RECONSIDER: A Diagnostic Prompting Program
Venue Applied Natural Language Processing Conference
Session Main Conference
Year 1983
Authors

syntax to represent the structure in the text. C?41T was scanned and "parsed ''~ to produce a sequence of ts~w.~, each with the following attributes: ordinal position of teem in phrase ordinal position of phrase in clause ordinal position of clause in sentence ordinal position of sentence in part name of part disease body system(s) of disease Thus. a dictionary (containing in excess of 20.000 such terms) was formed and CM.IT "inverted", so that each dictionary entry was fol- Lowed by pointers to every occurrence of that entry in CMIT. Included with every pointer were the seven attributes associated with each occurrence of that term. There are 333.211 terra occurrences in CMIT. for an average of about 102 terms per disease, or 79 unique terms per disease, the difference being terms that are...